Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text is fixed (e.g., in signature verification). In th...
H. E. S. Said, G. S. Peake, T. N. Tan, Keith D. Ba...
This paper addresses the problem of segmenting a combination of linear subspaces and quadratic surfaces from sample data points corrupted by (not necessarily small) noise. Our mai...
Necmiye Ozay, Mario Sznaier, Constantino M. Lagoa,...
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
—Document Image Binarization techniques have been studied for many years, and many practical binarization techniques have been developed and applied successfully on commercial do...
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...